Haan Petrol Station Locations Dataset – Netherlands
Haan Petrol Station Locations Dataset – Netherlands
De Haan Minerale Oliën is an independent Dutch fuel retailer with a diverse network of manned and unmanned petrol stations. It focuses on personalized service and often incorporates unique convenience concepts and local partnerships into its sites.
There are 75 Haan Petrol Stations as of 7 July 2026 in the Netherlands. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Haan locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 75 Haan petrol stations in the Netherlands
- Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
- File Format: Fully geocoded CSV dataset (UTF-8)
- Free Sample: Instantly accessible dataset to verify structure and data quality
- Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
- Last Updated: 7 July 2026
Dataset Methodology:
This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.
It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Settlement
- Region
- Population
- Postal Code
- Address
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)91%
- Web Address96%
- Opening Hours95%
- Popularity Score100%
Data Preview: Sample geospatial records from the Haan dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| e3eb12a... | Haan (Alblasserdam) | 51.856883 | 4.667675 | 2952 BC | 1 De Helling, Alblasserdam, 2952 BC, ... |
| d061bed... | Haan (Zwijndrecht) | 51.813483 | 4.647158 | 3331 LK | 650 Ringdijk, Zwijndrecht, 3331 LK, Z... |
| 98912d3... | Haan Express (Heerlen) | 50.903828 | 5.940015 | 6412 PE | 115 Beersdalweg, Heerlen, 6412 PE, He... |
| 3804f05... | Haan (Wageningen) | 51.978081 | 5.670320 | 6708 HA | 195 Churchillweg, Wageningen, 6708 HA... |
| b59a5b6... | Haan (Apeldoorn) | 52.193786 | 5.976222 | 7331 NS | 37 Marchantstraat, Apeldoorn, 7331 NS... |
Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.
Why download from Geolocet?
- Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
- Free sample first - verify structure, fields, and coordinate precision before you commit
- Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
- Regularly updated - last updated 7 July 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
Regional Distribution Breakdown
Looking at the geographic distribution, the highest concentration of Haan locations in the Netherlands is found in Zuid-Holland (34 sites, equivalent to 0.88 Haan petrol stations per 100,000 residents). This is followed by Noord-Brabant (11 sites; 0.41 per 100,000) and Limburg (7 sites; 0.62 per 100,000). From a market-penetration perspective, Zuid-Holland has the highest brand density at 0.88 locations per 100,000 people (population: 3,860,000), making it the most saturated region for Haan in the Netherlands. By contrast, Overijssel records only 0.17 locations per 100,000 residents (population: 1,195,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Learn more about the brand network in our report: View Report
Also available for the Netherlands
Brand bundle
Top 14 Petrol Stations Brands in the Netherlands - €360
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All Petrol Stations Locations in the Netherlands - complete POI dataset
Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.
View full POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for the Netherlands: Map these Haan locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for the Netherlands: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Haan locations.
- Explore demographics data insights for the Netherlands: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for the Netherlands (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Income distribution and socio-economic patterns in the Netherlands - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of the Netherlands-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for the Netherlands
Need the data in another format?
We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.
Who uses this data?
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
Frequently Asked Questions
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
Q: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Haan dataset to identify underserved regions in the Netherlands for potential market expansion.""Identify locations where multiple Haan sites compete within overlapping catchment areas in the Netherlands.""Identify regions in the Netherlands where Haan has a disproportionately strong or weak presence relative to population density."
Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.